The way people work with information is changing. Instead of searching through different tools or reports, users can now use AI to find, understand, and work with the information they need.
This is also changing how people use analytics. Rather than relying only on predefined dashboards, business users can ask questions in natural language and explore the answers through follow-up questions.
Amazon Quick brings this approach to business analytics. It combines analytics, AI-powered conversations, research, and automation in one environment, helping users work with business information more naturally.
At the center of Amazon Quick is Amazon Quick Sight, which provides business intelligence and data visualization. Amazon Quick builds these capabilities to help users explore information, answer business questions, and turn insights into action.
A Different Way to Interact with Business Information
Business users often rely on dashboards to understand what is happening in their business. They can review key metrics, apply filters, and compare different data points to find the information they need.
But business questions can change as users explore the data. A sales manager, for example, may start by asking about monthly revenue, then want to know which region contributed most to the change, followed by which products affected the result.
With Amazon Quick, users can explore these questions through natural language. Instead of moving between different reports, they can ask a question, review the answer, and continue with a follow-up question based on what they find.
This creates a more conversational way to explore business data, helping users move from one question to the next without having to start the analysis from scratch.
Bringing AI Into the Analytics Experience
Amazon Quick does not replace traditional business intelligence. Instead, it builds existing analytics by adding AI-powered ways to explore and work with data.
At the center is Amazon Quick Sight, which provides dashboards, visualizations, and business intelligence capabilities for analyzing and monitoring business performance. Amazon Quick extends this experience by giving users more flexible ways to interact with information.
Ask Questions in Natural Language
One of the key benefits is the ability to ask questions using everyday language. Users do not need to know SQL or understand how a dashboard is built to start exploring their data.
For example, a user could ask:
“Which regions saw the largest change in sales this quarter?”
or:
“What products contributed most to the increase in revenue?”
Amazon Quick can interpret these questions and use the available data to provide an answer. Depending on the question and data source, the response can also include explanations and supporting details to help users understand the result.
This makes data exploration easier for business users who may not work with technical data tools every day.
Explore Beyond Dashboard
Business information is not always stored in a dashboard or database. Important context can also be found in documents, internal knowledge bases, and other sources.
Amazon Quick can work with connected knowledge sources, including Amazon S3, SharePoint, OneDrive, Confluence, and Google Drive, allowing users to work with information beyond structured BI data.
For example, a user exploring a sales trend could also look at internal documents or other sources to better understand the factors behind the result. This gives users more context when exploring a business question, rather than relying on numbers alone.
From Questions to Research
Some business questions need more than a quick answer. Users may need to explore a topic, compare information from different sources, and bring the findings together to get a clearer picture.
Amazon Quick includes Research capabilities that help users do this by working across connected organizational information and web sources. It can generate research reports and include citations, making it easier for users to review where the information comes from.
This can be useful for tasks such as market research, business analysis, or exploring a specific business topic.
Instead of simply asking “What does the data show?”, users can also explore the bigger picture and ask, “What else should I know?”
From Insight to Action
Getting insight is often just the beginning. Once a question has been answered, users may still need to take action, such as creating a report, updating another application, sending a notification, or starting a workflow.
Amazon Quick can help connect these steps. Quick Flows allows users to build AI-powered workflows for repetitive tasks, while Quick Automate supports more complex workflows that can work across multiple applications and systems.
This creates a more connected workflow:
Ask → Analyze → Understand → Act
Instead of using AI only to find answers, businesses can also use it to help move insights into the next step of the process.
Connecting AI With Existing Business Environments
For AI-powered analytics to be useful, it needs access to the right information. Amazon Quick can connect with different data sources, knowledge repositories, applications, and business systems, allowing users to work with information from different parts of the organization.
Structured data can support analytics, while connected knowledge sources can provide additional context for AI-powered interactions. These connections can also support workflows and automation across different applications.
Amazon Quick supports integrations through technologies such as Model Context Protocol (MCP) and OpenAPI, making it possible to connect AI capabilities with existing tools and services.
This allows businesses to bring AI into the tools and information they already use, rather than creating a separate workflow around it.
Making Data More Interactive
AI-powered analytics is changing how people interact with business information. A data analyst may still need detailed dashboards and datasets, while a manager may simply want to ask a question and get a quick explanation. An operations team may need to bring information from different systems together before deciding what to do next.
Amazon Quick brings these different ways of working with information into one environment, combining analytics, AI-powered conversations, research, and automation. Amazon Quick Sight continues to provide the business intelligence and data visualization capabilities within this broader experience.
For businesses exploring AI-assisted analytics, this means data can become more interactive. Users can ask questions, explore information, find additional context, and move from insights to action in a more natural way.
The goal is not just to make data easier to access, but to make it easier to work with.
Explore Amazon Quick with CDT!
Making data more accessible and actionable starts with having the right tools and the right approach. With AI-powered analytics, businesses can give teams more flexible ways to explore data, find insights, and support everyday decision-making.
As an AWS Premier Tier Services Partner in Indonesia, Central Data Technology (CDT) helps businesses explore and implement AWS solutions that support their data and AI needs. From identifying relevant use cases to implementing solutions based on business requirements, CDT can help businesses make the most of AWS.
Interested in exploring Amazon Quick for your business? Contact the CDT team through this link and discuss your AI needs with us.
